Accuracy Gains from Privacy Amplification Through Sampling for
Differential Privacy

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Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy

17 March 2021

Joerg Drechsler

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Papers citing "Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy"

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Title
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries Badih Ghazi Ravi Kumar Pasin Manurangsi FedML 49 10 0 16 Dec 2020
A bounded-noise mechanism for differential privacy Y. Dagan Gil Kur 85 23 0 07 Dec 2020
Subsampled Rényi Differential Privacy and Analytical Moments Accountant Yu Wang Borja Balle S. Kasiviswanathan 85 398 0 31 Jul 2018
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,130 0 01 Jul 2016
On Sampling, Anonymization, and Differential Privacy: Or, k-Anonymization Meets Differential Privacy Ninghui Li Wahbeh H. Qardaji D. Su 118 280 0 13 Jan 2011